Browsing by Author "Neyem, Andres"

Now showing 1 - 12 of 12
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    A Lessons-learned Mobile System for Construction Companies: Motivation and Design
    (2014) Ferrada Calvo, Ximena Veronica; Sepúlveda Fernández, Marcos Ernesto; Serpell Bley, Alfredo; Daniela Núñez; Neyem, Andres
    Construction projects are an important source of organizational knowledge. Though, it is common to find that most lessons learned in construction projects are lost because most companies never take care of collecting them. To change this situation, a mobile lesson-learned system application with interface for smartphones and web in a cloud environment is proposed. This article focuses on the design of a prototype of the system and the main characteristics of its architecture. It is concluded that the application of mobile technology on the field would facilitate the use of the system, been an appropriate tool for knowledge management. (C) 2014 The Authors. Published by Elsevier Ltd.
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    A reusable structural design for mobile collaborative applications
    (ELSEVIER SCIENCE INC, 2012) Neyem, Andres; Ochoa, Sergio F.; Pino, Jose A.; Dario Franco, Ruben
    Architecting mobile collaborative applications has always been a challenge for designers. However, counting on a structural design as a reference can help developers to reduce risks and efforts involved in system design. This article presents a reusable architecture which helps modeling the communication and coordination services required by mobile collaborative applications to support collaboration among users. This architecture has been used as a basis for the design of several mobile systems. Two of them are presented in this article to show the applicability of the proposal to real world collaborative systems. (C) 2011 Elsevier Inc. All rights reserved.
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    An Empirical Study of Mobile Code Offloading in Unpredictable Environments
    (2023) Sanabria Quispe, Pablo; Neyem, Andres; Sandoval Alcocer, Juan Pablo; Fernandez, Blanco Alison
    Mobile code offloading is a well-known technique for enhancing the capabilities of mobile platforms by transparently leveraging the resources to the cloud. Although this technique has been studied for years, little empirical evidence exists to demonstrate its alleged benefits in terms of performance in real-life situations. All studies conducted on this topic have so far been relegated to controlled environments in laboratory settings. As such, there is no evidence of how and how well this technique performs in real-life scenarios, where network unreliability is the norm. In this work, we present the first empirical study of an Android mobile application integrated with a code offloading framework being tested in the wild. We distributed an application that contains a set of benchmarks in APK format and deployed it on a wide gamut of Android devices to which we had no physical access. We carefully detail the methodology and infrastructure we used to monitor the benchmarks’ performance of 18 devices. Overall, our results show that the accuracy of the decision-making engine is heavily affected by a couple of factors, mainly the network diagnosis and connection type. Therefore, determining whether or not it is more convenient to execute a given task in the cloud is a difficult task. We summarize five lessons we learned by performing our experiment that we believe should be considered for future experiments in this area.
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    Anatomicis Network: A Cloud-based Educational Software Platformto Enhance Anatomy Teaching in Medical Education
    (SOC CHILENA ANATOMIA, 2017) Inzunza, Oscar; Neyem, Andres; Eliana Sanz, Maria; Valdivia, Ivan; Villarroel, Mauricio; Farfan, Emilio; Matte, Andres; Lopez Juri, Patricio
    In this article, we describe a novel proposal of an educational software platform to enhance the anatomy teaching in medical education. In order to determine the usefulness and impact of this platform, between 2016 and 2017, an interinstitutional experience was developed, which included the Universities of Antofagasta, Playa Ancha, Austral and Catolica de Chile. The participation of anatomy departments in this experience, used the educational software platform to access 2D and 3D anatomical images and online multimodal practical-theoretical evaluations, being able to perform usability tests with their students. This project aims to improve teaching in the different anatomy departments throughout the country.
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    COMMUNICATION SUPPORT FOR MOBILE COLLABORATIVE WORK: AN EXPERIMENTAL STUDY
    (WORLD SCIENTIFIC PUBL CO PTE LTD, 2012) Messeguer, Roc; Medina, Esunly; Ochoa, Sergio F.; Pino, Jose A.; Neyem, Andres; Navarro, Leandro; Royo, Dolors
    Advances in mobile computing and wireless communication are easing the evolution from traditional nomadic work to computer-mediated mobile collaborative work. Technology allows efficient and effective interaction among mobile users and also provides access to shared resources available to them. However, the features and capabilities of the communication infrastructure supporting these activities influence the type of coordination and collaboration employed by mobile collaborative applications in real work scenarios. Developers of these applications are typically unaware of the constraints the communication infrastructure imposes on mobile collaborative systems, because they are not easy to foresee. That leads to a high probability of communication problems in otherwise fully functional mobile collaborative support applications. This paper presents an experimental study with real devices and networks on a realistic physical environment that shows how ad hoc networks can effectively support mobile collaborative work and the practical limitations. The paper analyzes several networking issues and determines how they influence mobile collaborative work in various interaction scenarios. The paper also presents the lessons learned in the study and provides recommendations to deal with some networking issues related to real-world ad hoc networks.
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    Deep Neural Networks on Mobile Healthcare Applications: Practical Recommendations
    (2018) Benedetto, Jose I.; Sanabria, Pablo; Neyem, Andres; Navon, Jaime; Poellabauer, Christian; Xia, Bryan (Ning)
    Deep learning has for a long time been recognized as a powerful tool in the field of medicine for making predictions or detecting abnormalities in a patient’s data. However, up until recently, hosting of these neural networks has been relegated to the domain of servers and powerful workstations due to the vast amount of resources they require. This trend has been steadily shifting in the recent years, and we are now beginning to see more and more mobile applications with similar capabilities. Deep neural networks hosted completely on mobile platforms are extremely valuable for providing healthcare services to remote areas without network connectivity. Yet despite this, there is very little information regarding the migration process of an existing server-based neural network to a mobile environment. In this work, we describe the various techniques and considerations that should be taken into account when developing a deep-learning enabled mobile application with offline support. We illustrate the above by providing a concrete example through our experience in migrating to mobile an in-house developed medical application for detecting early signs of traumatic brain injuries.
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    Empowering human anatomy education through gamification and artificial intelligence: An innovative approach to knowledge appropriation
    (WILEY, 2023) Castellano, Monica Stambuk; Contreras-McKay, Ignacio; Neyem, Andres; Farfan, Emilio; Inzunza, Oscar; Ottone, Nicolas E.; del Sol, Mariano; Alario-Hoyo, Carlos; Alvarado, Macarena Soto; Tubbs, R. Shane
    Gamification has appeared as an alternative educational methodology to traditional tools. Specifically, in anatomy teaching, multiple technological applications have emerged in response to the difficulties of accessing cadaveric material; however, there is insufficient information about the effects of these applications on the performance achieved by students, or about to the best way to adapt learning to meet their educational needs. In this study, we investigated how teaching human anatomy through a mobile gamified technological tool containing recommendation systems can be combined with a virtual assistant to improve the learning and academic performance of medical students in the Anatomy Department at the Universidad de La Frontera in Temuco, Chile and the Anatomy Department at the Pontificia Universidad Catolica de Chile. In total, 131 students participated in the experiment, which was divided into two case studies. The main findings led to the conclusion that gamified components support students in learning anatomy. In addition, the predictions and recommendations provided by the virtual assistant enabled the academic aspects that the students needed to improve to be extracted adequately. Future work is expected to support adaptive learning by incorporating new artificial intelligence in education elements that can generate personalized scenarios for studying anatomy based on the application.
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    Fostering the use of online learning resources: results of using a mobile collaboration tool based on gamification in a blended course
    (2023) Ramirez-Donoso, Luis; Perez-Sanagustin, Mar; Neyem, Andres; Alario-Hoyos, Carlos; Hilliger Carrasco, Isabel; Rojos, Felipe
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    Mobile computing in urban emergency situations Improving the support to firefighters in the field
    (PERGAMON-ELSEVIER SCIENCE LTD, 2011) Monares, Alvaro; Ochoa, Sergio F.; Pino, Jose A.; Herskovic, Valeria; Rodriguez Covili, Juan; Neyem, Andres
    Communication support is a serious limitation for Latin American firefighters when they deal with emergency situations The insufficient number of radio channels and the impossibility to deliver digital information force firemen to improvise during response processes e g to make decisions using their experience and poor or null supporting information These improvised actions affect the time required to take control of an emergency and also affect the evolution of the crisis situation Provided most of Latin American fire companies are volunteer organizations communication solutions that could help to overcome these problems are usually expensive for them This article presents a low-cost mobile collaborative application which may be used in emergency situations to overcome most of the firefighters communication problems The application named MobileMap is the result of the research and development work conducted by the authors supported by a Chilean fire company during the last three years MobileMap allows ad hoc communication decisions support and collaboration among firefighters in the field using mobile devices This solution complements the radio communication systems Since the Inter actions supported by MobileMap are recorded it is possible to analyze such information after the crisis and learn for future emergencies The tool was evaluated in simulated and real scenarios and the obtained results are highly encouraging (C) 2010 Elsevier Ltd All rights reserved
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    New Heuristics for Scheduling and Distributing Jobs under Hybrid Dew Computing Environments
    (2021) Sanabria, Pablo; Tapia, Tomás Felipe; Neyem, Andres; Benedetto, Jose Ignacio; Hirsch, Matías; Mateos, Cristian; Zunino, Alejandro
    Mobile grid computing has been a popular topic for researchers due to mobile and IoT devices’ ubiquity and their evergrowing processing potential. While many scheduling algorithms for harnessing these resources exist in the literature for standard grid computing scenarios, surprisingly, there is little insight into this matter in the context of hybrid-powered computing resources, typically found in Dew and Edge computing environments. This paper proposes new algorithms aware of devices’ power source for scheduling tasks in hybrid environments, i.e., where the battery- and non-battery-powered devices cooperate. We simulated hybrid Dew/Edge environments by extending DewSim, a simulator that models battery-driven devices’ battery behavior using battery traces profiled from real mobile devices. We compared the throughput and job completion achieved by algorithms proposed in this paper using as a baseline a previously developed algorithm that considers computing resources but only from battery-dependent devices called Enhanced Simple Energy-Aware Schedule (E-SEAS). The obtained results in the simulation reveal that our proposed algorithms can obtain up to a 90% increment in overall throughput and around 95% of completed jobs in hybrid environments compared to E-SEAS. Finally, we show that incorporating these characteristics gives more awareness of the type of resources present and can enable the algorithms to manage resources more efficiently in more hybrid environments than other algorithms found in the literature.
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    Solving Task Scheduling Problems in Dew Computing via Deep Reinforcement Learning
    (2022) Sanabria Quispe, Pablo; Tapia, Tomás Felipe; Toro Icarte, Rodrigo; Neyem, Andres
    Due to mobile and IoT devices’ ubiquity and their ever-growing processing potential, Dew computing environments have been emerging topics for researchers. These environments allow resource-constrained devices to contribute computing power to others in a local network. One major challenge in these environments is task scheduling: that is, how to distribute jobs across devices available in the network. In this paper, we propose to distribute jobs in Dew environments using artificial intelligence (AI). Specifically, we show that an AI agent, known as Proximal Policy Optimization (PPO), can learn to distribute jobs in a simulated Dew environment better than existing methods—even when tested over job sequences that are five times longer than the sequences used during the training. We found that using our technique, we can gain up to 77% in performance compared with using human-designed heuristics.
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    The Iceberg Effect: Behind the User Interface of Mobile Collaborative Systems
    (GRAZ UNIV TECHNOLGOY, INST INFORMATION SYSTEMS COMPUTER MEDIA-IICM, 2011) Herskovic, Valeria; Ochoa, Sergio F.; Pino, Jose A.; Neyem, Andres
    Advances in mobile technologies are opening new possibilities to support collaborative activities through mobile devices. Unfortunately, mobile collaborative systems have been difficult to conceive, design and implement. These difficulties are caused in part by their unclear requirements and developers' lack of experience with this type of systems. However, several requirements involved in the collaborative back-end of these products are recurrent and should be considered in every development. This paper introduces a characterization of mobile collaboration and a framework that specifies a list of general requirements to be considered during the conception and design of a system in order to increase its probability of success. This framework was used in the development of two mobile collaborative systems, providing developers with a base of back-end requirements to aid system design and implementation. The systems were positively evaluated by their users.